Пример #1
0
    def test_get_fuzzer_instances(self):
        fuzzer_inst = [('fuzz000', ['crashes']), ('fuzz001', ['crashes'])]
        self.assertListEqual(
            fuzzer_inst,
            sorted(afl_collect.get_fuzzer_instances('testdata/sync')))

        fuzzer_inst = [(os.path.abspath('testdata/sync/fuzz000'), ['crashes'])]
        self.assertListEqual(
            fuzzer_inst,
            sorted(afl_collect.get_fuzzer_instances(
                ('testdata/sync/fuzz000'))))

        fuzzer_inst = [('fuzz000', ['queue']), ('fuzz001', ['queue'])]
        self.assertListEqual(
            fuzzer_inst,
            sorted(
                afl_collect.get_fuzzer_instances('testdata/sync',
                                                 crash_dirs=False)))

        fuzzer_inst = [(os.path.abspath('testdata/sync/fuzz000'), ['queue'])]
        self.assertListEqual(
            fuzzer_inst,
            sorted(
                afl_collect.get_fuzzer_instances(('testdata/sync/fuzz000'),
                                                 crash_dirs=False)))
Пример #2
0
def afl_reseed(sync_dir, coll_dir):
    fuzzer_queues = afl_collect.get_fuzzer_instances(sync_dir, crash_dirs=False)

    for fuzzer in fuzzer_queues:
        # move original fuzzer queues out of the way
        date_time = time.strftime("%Y-%m-%d-%H:%M:%S")
        queue_dir = os.path.join(sync_dir, fuzzer[0], "queue")
        queue_bak = "%s.%s" % (queue_dir, date_time)
        os.makedirs(queue_bak, exist_ok=True)

        queue_ls = os.listdir(queue_dir)

        for item in queue_ls:
            abs_item = os.path.join(queue_dir, item)
            if os.path.isfile(abs_item):
                shutil.move(abs_item, queue_bak)

        # copy newly generated corpus into queues
        print_ok("Reseeding %s into queue %s" % (os.path.basename(coll_dir), queue_dir))
        coll_ls = os.listdir(coll_dir)

        for item in coll_ls:
            abs_item = os.path.join(coll_dir, item)
            if os.path.isfile(abs_item):
                shutil.copy2(abs_item, queue_dir)

    return fuzzer_queues
Пример #3
0
def afl_reseed(sync_dir, coll_dir):
    fuzzer_queues = afl_collect.get_fuzzer_instances(sync_dir, crash_dirs=False)

    for fuzzer in fuzzer_queues:
        # move original fuzzer queues out of the way
        date_time = time.strftime("%Y-%m-%d-%H:%M:%S")
        queue_dir = os.path.join(sync_dir, fuzzer[0], "queue")
        queue_bak = "%s.%s" % (queue_dir, date_time)
        os.makedirs(queue_bak, exist_ok=True)

        queue_ls = os.listdir(queue_dir)

        for item in queue_ls:
            abs_item = os.path.join(queue_dir, item)
            if os.path.isfile(abs_item):
                shutil.move(abs_item, queue_bak)

        # copy newly generated corpus into queues
        print_ok("Reseeding %s into queue %s" % (os.path.basename(coll_dir), queue_dir))
        coll_ls = os.listdir(coll_dir)

        for item in coll_ls:
            abs_item = os.path.join(coll_dir, item)
            if os.path.isfile(abs_item):
                shutil.copy2(abs_item, queue_dir)

    return fuzzer_queues
Пример #4
0
    def test_get_fuzzer_instances(self):
        fuzzer_inst = [
            ('fuzz000', ['crashes']),
            ('fuzz001', ['crashes'])
        ]
        self.assertListEqual(fuzzer_inst, sorted(afl_collect.get_fuzzer_instances('testdata/sync')))

        fuzzer_inst = [
            (os.path.abspath('testdata/sync/fuzz000'), ['crashes'])
        ]
        self.assertListEqual(fuzzer_inst, sorted(afl_collect.get_fuzzer_instances(('testdata/sync/fuzz000'))))

        fuzzer_inst = [
            ('fuzz000', ['queue']),
            ('fuzz001', ['queue'])
        ]
        self.assertListEqual(fuzzer_inst, sorted(afl_collect.get_fuzzer_instances('testdata/sync',
                                                                                  crash_dirs=False)))

        fuzzer_inst = [
            (os.path.abspath('testdata/sync/fuzz000'), ['queue'])
        ]
        self.assertListEqual(fuzzer_inst, sorted(afl_collect.get_fuzzer_instances(('testdata/sync/fuzz000'),
                                                                                  crash_dirs=False)))
Пример #5
0
def main(argv):
    show_info()

    parser = argparse.ArgumentParser(description="afl-minimize performs several optimization steps to reduce the size\n \
of an afl-fuzz corpus.",
                                     usage="afl-minimize [-c COLLECTION_DIR [--cmin [opts]] [--tmin [opts]]] [-d] [-h]\n \
                   [-j] sync_dir -- target_cmd\n")

    parser.add_argument("-c", "--collect", dest="collection_dir",
                        help="Collect all samples from the synchronisation dir and store them in the collection dir. \
Existing files in the collection directory will be overwritten!", default=None)
    parser.add_argument("--cmin", dest="invoke_cmin", action="store_const", const=True,
                        default=False, help="Run afl-cmin on collection dir. Has no effect without '-c'.")
    parser.add_argument("--cmin-mem-limit", dest="cmin_mem_limit", default=None, help="Set memory limit for afl-cmin.")
    parser.add_argument("--cmin-timeout", dest="cmin_timeout", default=None, help="Set timeout for afl-cmin.")
    parser.add_argument("--tmin", dest="invoke_tmin", action="store_const", const=True,
                        default=False, help="Run afl-tmin on minimized collection dir if used together with '--cmin'\
or on unoptimized collection dir otherwise. Has no effect without '-c'.")
    parser.add_argument("--tmin-mem-limit", dest="tmin_mem_limit", default=None, help="Set memory limit for afl-tmin.")
    parser.add_argument("--tmin-timeout", dest="tmin_timeout", default=None, help="Set timeout for afl-tmin.")
    parser.add_argument("-d", "--dry-run", dest="dry_run", action="store_const", const=True,
                        default=False, help="Perform dry-run on collection dir, if '-c' is provided or on \
synchronisation dir otherwise. Dry-run will move intermittent crashes out of the corpus.")
    parser.add_argument("-j", "--threads", dest="num_threads", default=1,
                        help="Enable parallel dry-run and t-minimization step by specifying the number of threads \
afl-minimize will utilize.")
    parser.add_argument("sync_dir", help="afl synchronisation directory containing multiple fuzzers and their queues.")
    parser.add_argument("target_cmd", nargs="+", help="Path to the target binary and its command line arguments. \
Use '@@' to specify crash sample input file position (see afl-fuzz usage).")

    args = parser.parse_args(argv[1:])

    if not args.collection_dir and not args.dry_run:
        print_err("No operation requested. You should at least provide '-c'")
        print_err("for sample collection or '-d' for a dry-run. Use '--help' for")
        print_err("usage instructions or checkout README.md for details.")
        return

    sync_dir = os.path.abspath(os.path.expanduser(args.sync_dir))
    if not os.path.exists(sync_dir):
        print_err("No valid directory provided for <SYNC_DIR>!")
        return

    args.target_cmd = " ".join(args.target_cmd).split()
    args.target_cmd[0] = os.path.abspath(os.path.expanduser(args.target_cmd[0]))
    if not os.path.exists(args.target_cmd[0]):
        print_err("Target binary not found!")
        return
    args.target_cmd = " ".join(args.target_cmd)

    if not args.num_threads:
        threads = 1
    else:
        threads = int(args.num_threads)

    if args.collection_dir:
        out_dir = os.path.abspath(os.path.expanduser(args.collection_dir))
        if not os.path.exists(out_dir) or len(os.listdir(out_dir)) == 0:
            os.makedirs(out_dir, exist_ok=True)

            print_ok("Looking for fuzzing queues in '%s'." % sync_dir)
            fuzzers = afl_collect.get_fuzzer_instances(sync_dir, crash_dirs=False)

            # collect samples from fuzzer queues
            print_ok("Found %d fuzzers, collecting samples." % len(fuzzers))
            sample_index = afl_collect.build_sample_index(sync_dir, out_dir, fuzzers)

            print_ok("Successfully indexed %d samples." % len(sample_index.index))
            print_ok("Copying %d samples into collection directory..." % len(sample_index.index))
            afl_collect.copy_samples(sample_index)
        else:
            print_warn("Collection directory exists and is not empty!")
            print_warn("Skipping collection step...")

        if args.invoke_cmin:
            # invoke cmin on collection
            print_ok("Executing: afl-cmin -i %s -o %s.cmin -- %s" % (out_dir, out_dir, args.target_cmd))
            invoke_cmin(out_dir, "%s.cmin" % out_dir, args.target_cmd, mem_limit=args.cmin_mem_limit,
                        timeout=args.cmin_timeout)
            if args.invoke_tmin:
                # invoke tmin on minimized collection
                print_ok("Executing: afl-tmin -i %s.cmin/* -o %s.cmin.tmin/* -- %s" % (out_dir, out_dir,
                                                                                       args.target_cmd))
                tmin_num_samples, tmin_samples = afl_collect.get_samples_from_dir("%s.cmin" % out_dir, abs_path=True)
                invoke_tmin(tmin_samples, "%s.cmin.tmin" % out_dir, args.target_cmd, num_threads=threads,
                            mem_limit=args.tmin_mem_limit, timeout=args.tmin_timeout)
        elif args.invoke_tmin:
            # invoke tmin on collection
            print_ok("Executing: afl-tmin -i %s/* -o %s.tmin/* -- %s" % (out_dir, out_dir, args.target_cmd))
            tmin_num_samples, tmin_samples = afl_collect.get_samples_from_dir(out_dir, abs_path=True)
            invoke_tmin(tmin_samples, "%s.tmin" % out_dir, args.target_cmd, num_threads=threads,
                        mem_limit=args.tmin_mem_limit, timeout=args.tmin_timeout)
        if args.dry_run:
            # invoke dry-run on collected/minimized corpus
            if args.invoke_cmin and args.invoke_tmin:
                print_ok("Performing dry-run in %s.cmin.tmin..." % out_dir)
                print_warn("Be patient! Depending on the corpus size this step can take hours...")
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir("%s.cmin.tmin" % out_dir,
                                                                                      abs_path=True)
                invoke_dryrun(dryrun_samples, "%s.cmin.tmin.crashes" % out_dir, "%s.cmin.tmin.hangs" % out_dir,
                              args.target_cmd, num_threads=threads)
            elif args.invoke_cmin:
                print_ok("Performing dry-run in %s.cmin..." % out_dir)
                print_warn("Be patient! Depending on the corpus size this step can take hours...")
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir("%s.cmin" % out_dir,
                                                                                      abs_path=True)
                invoke_dryrun(dryrun_samples, "%s.cmin.crashes" % out_dir, "%s.cmin.hangs" % out_dir, args.target_cmd,
                              num_threads=threads)
            elif args.invoke_tmin:
                print_ok("Performing dry-run in %s.tmin..." % out_dir)
                print_warn("Be patient! Depending on the corpus size this step can take hours...")
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir("%s.tmin" % out_dir,
                                                                                      abs_path=True)
                invoke_dryrun(dryrun_samples, "%s.tmin.crashes" % out_dir, "%s.tmin.hangs" % out_dir, args.target_cmd,
                              num_threads=threads)
            else:
                print_ok("Performing dry-run in %s..." % out_dir)
                print_warn("Be patient! Depending on the corpus size this step can take hours...")
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(out_dir, abs_path=True)
                invoke_dryrun(dryrun_samples, "%s.crashes" % out_dir, "%s.hangs" % out_dir, args.target_cmd,
                              num_threads=threads)
    else:
        if args.dry_run:
            print_ok("Looking for fuzzing queues in '%s'." % sync_dir)
            fuzzers = afl_collect.get_fuzzer_instances(sync_dir, crash_dirs=False)
            print_ok("Found %d fuzzers, performing dry run." % len(fuzzers))
            print_warn("Be patient! Depending on the corpus size this step can take hours...")
            # invoke dry-run on original corpus
            for f in fuzzers:
                for q_dir in f[1]:
                    q_dir_complete = os.path.join(sync_dir, f[0], q_dir)
                    print_ok("Processing %s..." % q_dir_complete)

                    dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(q_dir_complete, abs_path=True)
                    invoke_dryrun(dryrun_samples, os.path.join(sync_dir, f[0], "crashes"),
                                  os.path.join(sync_dir, f[0], "hangs"), args.target_cmd, num_threads=threads)
Пример #6
0
def main(argv):
    show_info()

    parser = argparse.ArgumentParser(
        description=
        "afl-minimize performs several optimization steps to reduce the size\n \
of an afl-fuzz corpus.",
        usage=
        "afl-minimize [-c COLLECTION_DIR [--cmin] [--tmin]] [-d] [-h] [-j] sync_dir \
-- target_cmd\n")

    parser.add_argument(
        "-c",
        "--collect",
        dest="collection_dir",
        help=
        "Collect all samples from the synchronisation dir and store them in the collection dir. \
Existing files in the collection directory will be overwritten!",
        default=None)
    parser.add_argument(
        "--cmin",
        dest="invoke_cmin",
        action="store_const",
        const=True,
        default=False,
        help="Run afl-cmin on collection dir. Has no effect without '-c'.")
    parser.add_argument(
        "--tmin",
        dest="invoke_tmin",
        action="store_const",
        const=True,
        default=False,
        help=
        "Run afl-tmin on minimized collection dir if used together with '--cmin'\
or on unoptimized collection dir otherwise. Has no effect without '-c'.")
    parser.add_argument(
        "-d",
        "--dry-run",
        dest="dry_run",
        action="store_const",
        const=True,
        default=False,
        help="Perform dry-run on collection dir, if '-c' is provided or on \
synchronisation dir otherwise. Dry-run will move intermittent crashes out of the corpus."
    )
    parser.add_argument(
        "-j",
        "--threads",
        dest="num_threads",
        default=1,
        help=
        "Enable parallel dry-run and t-minimization step by specifying the number of threads \
afl-minimize will utilize.")
    parser.add_argument(
        "sync_dir",
        help=
        "afl synchronisation directory containing multiple fuzzers and their queues."
    )
    parser.add_argument(
        "target_cmd",
        nargs="+",
        help="Path to the target binary and its command line arguments. \
Use '@@' to specify crash sample input file position (see afl-fuzz usage).")

    args = parser.parse_args(argv[1:])

    if not args.collection_dir and not args.dry_run:
        print_err("No operation requested. You should at least provide '-c'")
        print_err(
            "for sample collection or '-d' for a dry-run. Use '--help' for")
        print_err("usage instructions or checkout README.md for details.")
        return

    sync_dir = os.path.abspath(os.path.expanduser(args.sync_dir))
    if not os.path.exists(sync_dir):
        print_err("No valid directory provided for <SYNC_DIR>!")
        return

    args.target_cmd = " ".join(args.target_cmd).split()
    args.target_cmd[0] = os.path.abspath(os.path.expanduser(
        args.target_cmd[0]))
    if not os.path.exists(args.target_cmd[0]):
        print_err("Target binary not found!")
        return
    args.target_cmd = " ".join(args.target_cmd)

    if not args.num_threads:
        threads = 1
    else:
        threads = int(args.num_threads)

    if args.collection_dir:
        out_dir = os.path.abspath(os.path.expanduser(args.collection_dir))
        if not os.path.exists(out_dir) or len(os.listdir(out_dir)) == 0:
            os.makedirs(out_dir, exist_ok=True)

            print_ok("Looking for fuzzing queues in '%s'." % sync_dir)
            fuzzers = afl_collect.get_fuzzer_instances(sync_dir,
                                                       crash_dirs=False)

            # collect samples from fuzzer queues
            print_ok("Found %d fuzzers, collecting samples." % len(fuzzers))
            sample_index = afl_collect.build_sample_index(
                sync_dir, out_dir, fuzzers)

            print_ok("Successfully indexed %d samples." %
                     len(sample_index.index))
            print_ok("Copying %d samples into collection directory..." %
                     len(sample_index.index))
            afl_collect.copy_samples(sample_index)
        else:
            print_warn("Collection directory exists and is not empty!")
            print_warn("Skipping collection step...")

        if args.invoke_cmin:
            # invoke cmin on collection
            print_ok("Executing: afl-cmin -i %s -o %s.cmin -- %s" %
                     (out_dir, out_dir, args.target_cmd))
            invoke_cmin(out_dir, "%s.cmin" % out_dir, args.target_cmd)
            if args.invoke_tmin:
                # invoke tmin on minimized collection
                print_ok(
                    "Executing: afl-tmin -i %s.cmin/* -o %s.cmin.tmin/* -- %s"
                    % (out_dir, out_dir, args.target_cmd))
                tmin_num_samples, tmin_samples = afl_collect.get_samples_from_dir(
                    "%s.cmin" % out_dir, abs_path=True)
                tmin_num_samples_processed = invoke_tmin(tmin_samples,
                                                         "%s.cmin.tmin" %
                                                         out_dir,
                                                         args.target_cmd,
                                                         num_threads=threads)
        elif args.invoke_tmin:
            # invoke tmin on collection
            print_ok("Executing: afl-tmin -i %s/* -o %s.tmin/* -- %s" %
                     (out_dir, out_dir, args.target_cmd))
            tmin_num_samples, tmin_samples = afl_collect.get_samples_from_dir(
                out_dir, abs_path=True)
            tmin_num_samples_processed = invoke_tmin(tmin_samples,
                                                     "%s.tmin" % out_dir,
                                                     args.target_cmd,
                                                     num_threads=threads)
        if args.dry_run:
            # invoke dry-run on collected/minimized corpus
            if args.invoke_cmin and args.invoke_tmin:
                print_ok("Performing dry-run in %s.cmin.tmin..." % out_dir)
                print_warn(
                    "Be patient! Depending on the corpus size this step can take hours..."
                )
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(
                    "%s.cmin.tmin" % out_dir, abs_path=True)
                invoke_dryrun(dryrun_samples,
                              "%s.cmin.tmin.crashes" % out_dir,
                              args.target_cmd,
                              num_threads=threads)
            elif args.invoke_cmin:
                print_ok("Performing dry-run in %s.cmin..." % out_dir)
                print_warn(
                    "Be patient! Depending on the corpus size this step can take hours..."
                )
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(
                    "%s.cmin" % out_dir, abs_path=True)
                invoke_dryrun(dryrun_samples,
                              "%s.cmin.crashes" % out_dir,
                              args.target_cmd,
                              num_threads=threads)
            elif args.invoke_tmin:
                print_ok("Performing dry-run in %s.tmin..." % out_dir)
                print_warn(
                    "Be patient! Depending on the corpus size this step can take hours..."
                )
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(
                    "%s.tmin" % out_dir, abs_path=True)
                invoke_dryrun(dryrun_samples,
                              "%s.tmin.crashes" % out_dir,
                              args.target_cmd,
                              num_threads=threads)
            else:
                print_ok("Performing dry-run in %s..." % out_dir)
                print_warn(
                    "Be patient! Depending on the corpus size this step can take hours..."
                )
                dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(
                    out_dir, abs_path=True)
                invoke_dryrun(dryrun_samples,
                              out_dir,
                              args.target_cmd,
                              num_threads=threads)
    else:
        if args.dry_run:
            print_ok("Looking for fuzzing queues in '%s'." % sync_dir)
            fuzzers = afl_collect.get_fuzzer_instances(sync_dir,
                                                       crash_dirs=False)
            print_ok("Found %d fuzzers, performing dry run." % len(fuzzers))
            print_warn(
                "Be patient! Depending on the corpus size this step can take hours..."
            )
            # invoke dry-run on original corpus
            for f in fuzzers:
                for q_dir in f[1]:
                    q_dir_complete = os.path.join(sync_dir, f[0], q_dir)
                    print_ok("Processing %s..." % q_dir_complete)

                    dryrun_num_samples, dryrun_samples = afl_collect.get_samples_from_dir(
                        q_dir_complete, abs_path=True)
                    invoke_dryrun(dryrun_samples,
                                  os.path.join(sync_dir, f[0], "crashes"),
                                  args.target_cmd,
                                  num_threads=threads)